Lead design, development, and production deployment of generative AI and LLM-based solutions. Build and optimize ML pipelines, fine-tune and evaluate models, manage infrastructure on Azure/GCP and Linux, ensure secure handling of PII/PHI, and collaborate across teams to integrate AI into enterprise applications.
Design and implement server-side logic, define and maintain databases, and integrate user-facing elements developed by front-end developers. Ensure high performance and responsiveness of applications, and implement security and data protection measures.
Responsibilities- Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
- Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
- Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.
- Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
- Work with large datasets to build data pipelines and ensure effective model training and evaluation.
- Develop AI solutions using Python and modern ML libraries.
- Manage deployments and infrastructure in Linux-based environments.
- Ensure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.
- Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
- Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
- Document model architectures, experiments, deployment pipelines, and operational processes.
- Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices.
- Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field.
- 10+ years of overall professional experience in software engineering, machine learning, or AI engineering.
- Minimum 3+ years of hands-on experience working with Generative AI technologies and LLMs.
- Strong programming experience in Python.
- Proven experience fine-tuning, deploying, and optimizing large language models.
- Experience deploying Generative AI solutions into production environments.
- Hands-on experience working with Linux-based systems.
- Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP).
- Experience building ML pipelines and deploying AI models using modern MLOps practices.
- Experience handling and securing sensitive data such as PII and PHI in compliance with security and regulatory requirements.
EXL Chennai, Tamil Nadu, IND Office
Chennai, India
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